Results 281 to 290 of about 696,717 (340)

MatConvNet: Convolutional Neural Networks for MATLAB

ACM Multimedia, 2014
MatConvNet is an open source implementation of Convolutional Neural Networks (CNNs) with a deep integration in the MATLAB environment. The toolbox is designed with an emphasis on simplicity and flexibility.
A. Vedaldi, Karel Lenc
semanticscholar   +1 more source

A new generation 99 line Matlab code for compliance topology optimization and its extension to 3D

Structural And Multidisciplinary Optimization, 2020
Compact and efficient Matlab implementations of compliance topology optimization (TO) for 2D and 3D continua are given, consisting of 99 and 125 lines respectively.
Federico Ferrari, O. Sigmund
semanticscholar   +1 more source

Spectral Methods in MATLAB

, 2000
Preface 1. Differentiation matrices 2. Unbounded grids: the semidiscrete Fourier transform 3. Periodic grids: the DFT and FFT 4. Smoothness and spectral accuracy 5. Polynomial interpolation and clustered grids 6.
L. Trefethen
semanticscholar   +1 more source

Advanced Modeling with the MATLAB Reservoir Simulation Toolbox

, 2021
Many leading experts contribute to this follow-up to An Introduction to Reservoir Simulation using MATLAB/GNU Octave: User Guide for the MATLAB Reservoir Simulation Toolbox (MRST). It introduces more advanced functionality that has been recently added to
O. Møyner, Wenjuan Zhang
semanticscholar   +1 more source

matlab Programming

Programming for Electrical Engineers MATLAB® and Spice, 2021
These slides are a supplement to the book Numerical Methods with Matlab: Implementations and Applications, by Gerald W. Recktenwald, c © 2001, Prentice-Hall, Upper Saddle River, NJ. These slides are c © 2001 Gerald W. Recktenwald.
James C. Squire, J. Brown
semanticscholar   +1 more source

Taming MATLAB

Proceedings of the ACM international conference on Object oriented programming systems languages and applications, 2012
MATLAB is a dynamic scientific language used by scientists, engineers and students worldwide. Although MATLAB is very suitable for rapid prototyping and development, MATLAB users often want to convert their final MATLAB programs to a static language such as FORTRAN. This paper presents an extensible object-oriented toolkit for supporting the generation
Anton Dubrau, Laurie Hendren
openaire   +2 more sources

MIMO-OFDM Wireless Communications with MATLAB

, 2010
MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB).
Y. Cho, Jaekwon Kim, W. Yang, C. Kang
semanticscholar   +1 more source

Genes Software - extended and integrated with the R, Matlab and Selegen

, 2016
The Genes Software is useful for analyzing and processing phenotypic and molecular data using different biometric models. In the current version we dispose routines to integrate it with three other softwares: the R, Matlab and Selegen.
C. Cruz
semanticscholar   +1 more source

Meshfree Approximation Methods with Matlab

Interdisciplinary Mathematical Sciences, 2007
Meshfree approximation methods are a relatively new area of research, and there are only a few books covering it at present. Whereas other works focus almost entirely on theoretical aspects or applications in the engineering field, this book provides the
G. Fasshauer
semanticscholar   +1 more source

MATLAB Fundamentals

2010
Publisher Summary This chapter discusses fundamentals of matrix laboratory (MATLAB) that includes: variables, operators, and expressions, arrays, basic input and output, repetition (for), and decisions (if). Variables are fundamental to programming. Variable consists of two rules: It consists only of the letters a–z, the digits 0–9, and the underscore
Brian H. Hahn, Daniel T. Valentine
openaire   +4 more sources